Build a Career in Data Science

De: Emily Robinson, Jacqueline Nolis

Narrado por: Jeromy Lloyd

You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager.

About the technology:

What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career.

About the book:

Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews.

In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.

What's inside:

• Creating a portfolio of data science projects
• Assessing and negotiating an offer
• Leaving gracefully and moving up the ladder
• Interviews with professional data scientists

Target audience:

For listeners who want to begin or advance a data science career.

About the authors:

Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2020 Manning Publications (P)2020 Manning Publications

Excellent complement to an introductory course in Data Science

I started listening to this book towards the end of a six-month course I was taking in Data Science. The book helped me gain a broader perspective of data science as a discipline and a career and complemented the technical learning I was getting from the course.
The career advice presented by the authors is invaluable, and I see myself returning to specific chapters in the future as I grow and transition in the field of Data Science.
I'm glad I listened to the book and I highly recommend it.

Good narration. Soft content.

Some of the middle to later content is general career development content and not specific to data science. That doesn’t really help. Book could have gone into so many related topics to data science that it could have been more useful.

Meh

Half of the book's content is the author telling you what you will learn in some other section. Once you get through all that fluff, the remaining advice is generic and should be common sense for anyone who has the skillet to be a data scientist.